distilroberta-base-mic-sym

agi-css/distilroberta-base-mic-sym

distilroberta-base-mic-sym is a text classification model from agi-css. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: roberta
Access: Public
Created: Apr 23, 2022
Updated: Apr 23, 2022
SHA: 1b5e930b

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Model card

From the Hugging Face model README

distilroberta-base-mic-sym

This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0023
Accuracy: 0.9997
F1: 0.9997

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2.740146306575944e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	188	0.0049	0.9990	0.9990
No log	2.0	376	0.0023	0.9997	0.9997

Framework versions

Transformers 4.18.0
Pytorch 1.12.0.dev20220422+cu116
Datasets 2.1.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Apr 23, 2022
Updated: Apr 23, 2022